SAS Analytics Roadshow 2019
Building a smarter organization with Analytics & AI
Cubex Centrum Praha – 1. dubna 2019
Economic growth is driven by innovation and innovation is driven by digital transformation. Important is using AI and the Cloud with an agile approach.
Artificial Intelligence (AI) has become mainstream and is fueling more and more aspects of businesses and day-to-day life.
Beyond the hype, the question is how data-driven innovation can be brought to life and put in action to resolve real business problems. What steps are needed to move AI out of the lab and into business operations to realize the desired outcomes?
The challenge resides in complex IT landscapes, departmental siloes, and the ability to deploy analytics where needed.
An analytics platform supports and accelerates the entire Analytics Lifecycle from Data to Discovery and Deployment. To succeed with AI, organizations must be able to orchestrate and govern their analytics ecosystem through the entire Analytics Lifecycle.
Come learn how to enable Business, IT and data scientist to collaborate in transforming data into actionable insight and business value, with the right balance between choice and control.
Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.
Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.
Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.
At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.
- Aleksander Pivk Analytics Practice Leader for Central Europe and Adriatic, SAS
- Dalibor Šrámek Sr Business Solutions Manager at SAS
- Paul Gittins Principal Business Solutions Manager, SAS
- Sascha Schubert Advisory Business Solutions Manager, SAS
- Serhat Keçici Expert Data Scientist, Turkcell
- Tomáš Poucha Executive Director, Marketingový institut
|08:30 – 09:00||Registration and breakfast|
|09:00 – 09:15|
OpeningPetr Šlajchrt, Sales Manager, SAS Institute ČR
Tomáš Poucha, Director at MKTI and IIK, moderátor
|09:15 – 09:45||Keynote speaker|
|09:45 – 10:15|
Digital transformation in BankingSascha Schubert, Advisory Business Solutions Manager, Artificial Intelligence Team East, SAS Institute
|10:15 – 10:45||Digital transformation - customer experience|
|10:45 - 11:15|
|11:15 - 11:45||Coffee break|
|11:45 - 12:15|
SAS in CloudDalibor Šrámek, Sr Business Solutions Manager, SAS Institute
|12:15 – 12:45||Panel discussion|
|12:45 – 13:15|
|12:45 – 13:15||Coffee break|
|13:45 - 14:05|
|14:05 - 14:25|
Computer Vision and Deep Learning
Alexander Pivk, Analytics Practice Leader for Central Europe and Adriatic
|14:25 - 14:45|
|14:45 - 15:05||Process Mining|
|13:45 - 14:05|
|14:05 - 14:25||Voice of Customer|
|14:25 - 14:45||Innovation Lab|
By public transport:
Cubex is located about 100 metres from subway station Pankrác (line C/Red). Within the walking distance you can find the bus stop as well.
Cubex Centrum Prague
Na Strži 2097/63, Prague 4, 140 00
Cubex is close to the city circuit and D1 highway, exit Podolí/Pankrác.
GPS coordinates: 50.049964, 14.439709.
Parking lot at shopping mall OC Arkády
Consult multiple parking spaces reservation for your event with your event coordinator.
Register now for this event
Learn what is needed to orchestrate the new age of analytics – from data wrangling – through to tangible business results. During the session you will take away how to:
- Orchestrate an innovation-first and expanding analytics ecosystem
- Promote collaboration of your talents across business, IT and technical roles
- Scale and automate repeatable processes to keep pace with changing demands through your Analytics Lifecycle
- Maintain the right balance between choice and control
- Scale AI projects to enterprise wide availability leveraging cloud technology and considering compliance and ethics.
- Interpretability, trust and governance of data regardless the source